diff --git a/pandas/io/parsers/python_parser.py b/pandas/io/parsers/python_parser.py
index f2c9be66c0905..373a35f3102ef 100644
--- a/pandas/io/parsers/python_parser.py
+++ b/pandas/io/parsers/python_parser.py
@@ -17,6 +17,9 @@
 from typing import (
     IO,
     TYPE_CHECKING,
+    Hashable,
+    Iterator,
+    List,
     DefaultDict,
     Literal,
     cast,
@@ -36,7 +39,6 @@
     is_integer,
     is_numeric_dtype,
 )
-from pandas.core.dtypes.inference import is_dict_like
 
 from pandas.io.common import (
     dedup_names,
@@ -447,39 +449,18 @@ def _infer_columns(
                         this_columns.append(c)
 
                 if not have_mi_columns:
-                    counts: DefaultDict = defaultdict(int)
+                    defaultdict(int)
                     # Ensure that regular columns are used before unnamed ones
                     # to keep given names and mangle unnamed columns
-                    col_loop_order = [
+                    [
                         i
                         for i in range(len(this_columns))
                         if i not in this_unnamed_cols
                     ] + this_unnamed_cols
 
                     # TODO: Use pandas.io.common.dedup_names instead (see #50371)
-                    for i in col_loop_order:
-                        col = this_columns[i]
-                        old_col = col
-                        cur_count = counts[col]
-
-                        if cur_count > 0:
-                            while cur_count > 0:
-                                counts[old_col] = cur_count + 1
-                                col = f"{old_col}.{cur_count}"
-                                if col in this_columns:
-                                    cur_count += 1
-                                else:
-                                    cur_count = counts[col]
-
-                            if (
-                                self.dtype is not None
-                                and is_dict_like(self.dtype)
-                                and self.dtype.get(old_col) is not None
-                                and self.dtype.get(col) is None
-                            ):
-                                self.dtype.update({col: self.dtype.get(old_col)})
-                        this_columns[i] = col
-                        counts[col] = cur_count + 1
+                    this_columns = list(dedup_names(this_columns, False))
+
                 elif have_mi_columns:
                     # if we have grabbed an extra line, but its not in our
                     # format so save in the buffer, and create an blank extra